A Trustworthy Data Verification Technique for Cross-Chain Data Sharing Based on Merkle Trees

Abstract

Cross-chain data sharing is a promising solution for integrating different blockchain networks and improving their interoperability. However, data security and trustworthiness are major concerns in cross-chain data sharing, as data may be altered or corrupted during the sharing process. In this paper, we propose a novel technique for data verification in cross-chain data sharing based on Merkle trees. By establishing the merkle tree relay mechanism, the Merkle tree is used to build a decentralized environment, and the cross-chain transaction data is verified safely and efficiently, so that the data can be shared between different blockchain networks while maintaining the integrity and credibility of the data. The technology ensures the integrity and credibility of the data by using the characteristics of the Merkle tree. It provides an efficient and secure way to validate data in a decentralized environment. We also describe the implementation of the technique and experimentally demonstrate its effectiveness. Experimental results show that measuring the time required to verify shared data using Merkle tree to evaluate the technology provides a reliable and efficient solution for cross-chain data sharing, which can be used to build secure and trusted decentralized applications.